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Senior Manager - Manufacturing Analytics I4.0

Date: Nov 22, 2022

Location: India

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Position Summary with Job Responsibilities

Position Description Format 
Position Name    Manager - Functional Analytics (Manufacturing Analytics I 4.0) PV
Position level    5
DEM position name        DEM position level    
FEM position name        FEM position level    
Purpose of the position / Position Summary
To provide advanced analytics scalable solutions for deriving business benefits from various Industry 4.0 initiatives to make manufacturing future ready and agile.
Dimensions of the position
Bridge among IOT technologies, data science solutions and IT/OT platforms. It contain extracting and preparing data, conducting advanced Analytics, and applying the findings to improve products or production. Industrial data scientists must understand both manufacturing processes and IT systems and possess strong root cause analysis skills to identify correlations and draw conclusions.
Personal Profile
Education    Graduation in Industrial Engineering, Post-Graduation in Industrial Management with Data Science major
Skills    Industrial Management – IOT, Industry 4.0 core concepts 
Language – Python, SQL
Big data & cloud computing - Azure, AWS 
BI - Power BI 
ETL - Data Engineering basics, Kafka, MQTT, REST API
ML – Time Series Forecasting, Deep learning, Computer vision, NLP classic algorithms
ML Ops – ML model end to end deployment with real time data pipeline management
Relevant Experience :
3+ years of relevant experience in the field of advanced analytics related to Industry 4.0 initiatives; DevOps and Web UI design knowledge would be added advantage
Job Responsibility
S.N.    Job Responsibility
1Developing Scalable Predictive & Forecasting Models for various use cases related to I4.0
2Deploying & Managing ML models on cloud for batch and real time API call
3Developing and Managing real time data pipeline from various sources to cloud
4Building Analytics and BI solution for providing actionable insights
5Developing real time triggers & process automation flows
Communication Matrix
Stakeholder    Internal/External    Nature of relations
Manufacturing    Internal    Key user of Industry 4.0 projects
IT    Internal    Data Pipeline and IT/OT system admin
DBA    Internal    Azure and Database services management
Microsoft    External    Azure Platform expert


Work Experience

Tata Motors Leadership Competencies

Customer Centricity - Anticipating, understanding and focusing efforts on meeting the customer (stakeholders) needs or expectations
Developing Self and Others - Recognizing continuous development is essential for success and taking steps to develop self and helping others to excel
Driving Execution - Translating strategy into action and execution
Leading by Example - Encouraging and following ethical standards
Leading Change - Recognizing the need for change, initiating and adapting to change
Motivating Self and Others - Inspiring teams and individuals

Functional Competencies


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